Triple

T6442030
Position Surface form Disambiguated ID Type / Status
Subject Supplementary Private Use Area-A E138247 entity
Predicate abbreviation P43 FINISHED
Object PUA-A
PUA-A is a block of Unicode code points reserved for private, application-specific character definitions in the Supplementary Private Use Area-A range.
 E593923 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: PUA-A | Statement: [Supplementary Private Use Area-A, abbreviation, PUA-A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PUA-A
Context triple: [Supplementary Private Use Area-A, abbreviation, PUA-A]
  • A. PUA-B
    PUA-B is a block of Unicode code points reserved for private, application-specific character definitions in the Supplementary Private Use Area-B range.
  • B. PAA
    PAA was the ICAO airline designator for Pan American World Airways, the pioneering and once-dominant international airline of the United States.
  • C. PU
    PU is a common abbreviation for the University of the Punjab, a major public research university based in Lahore, Pakistan.
  • D. PU
    PU is the vehicle registration code used on license plates for vehicles registered in the city of Urbino, Italy.
  • E. PAE
    PAE is the IATA airport code for Paine Field, a public airport in Everett, Washington, known for its proximity to Boeing’s widebody aircraft assembly plant.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PUA-A
Triple: [Supplementary Private Use Area-A, abbreviation, PUA-A]
Generated description
PUA-A is a block of Unicode code points reserved for private, application-specific character definitions in the Supplementary Private Use Area-A range.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PUA-A
Target entity description: PUA-A is a block of Unicode code points reserved for private, application-specific character definitions in the Supplementary Private Use Area-A range.
  • A. PUA-B
    PUA-B is a block of Unicode code points reserved for private, application-specific character definitions in the Supplementary Private Use Area-B range.
  • B. PAA
    PAA was the ICAO airline designator for Pan American World Airways, the pioneering and once-dominant international airline of the United States.
  • C. PU
    PU is a common abbreviation for the University of the Punjab, a major public research university based in Lahore, Pakistan.
  • D. PU
    PU is the vehicle registration code used on license plates for vehicles registered in the city of Urbino, Italy.
  • E. PAE
    PAE is the IATA airport code for Paine Field, a public airport in Everett, Washington, known for its proximity to Boeing’s widebody aircraft assembly plant.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06989dfb88190b25ff8b2c53f3ced completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bc48220819092b0b63a616289e9 completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64d1db9148190afd4492e6f06ee3f completed March 27, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_69c64da81a0881908fc5716aeb0e47fa completed March 27, 2026, 9:28 a.m.
Created at: March 22, 2026, 4:46 p.m.